Generate a text embedding vector using OpenAI text-embedding-3-large (3072 dimensions). Higher accuracy than the small model. Ideal for semantic search, RAG, and clustering. No API key needed; pay per call via x402. Text capped at 32k chars.
| Network | Scheme | Amount | Pay To |
|---|---|---|---|
| Base | exact | $0.01 USDC | 0xaBF4...a9D0 |
| Polygon | exact | $0.01 USDC | 0xaBF4...a9D0 |
| Arbitrum One | exact | $0.01 USDC | 0xaBF4...a9D0 |
| eip155:143 | exact | 0.01 tokens | 0xaBF4...a9D0 |
| eip155:43114 | exact | 0.01 tokens | 0xaBF4...a9D0 |
| eip155:1329 | exact | 0.01 tokens | 0xaBF4...a9D0 |
| Optimism | exact | $0.01 USDC | 0xaBF4...a9D0 |
| eip155:4663 | exact | 0.01 tokens | 0xaBF4...a9D0 |
| Celo | exact | 0.01 tokens | 0xaBF4...a9D0 |
| Base | upto | $0.01 USDC | 0xaBF4...a9D0 |
| solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp | exact | 0.01 tokens | J7aN3P...3xwg |
| stellar:pubnet | exact | 0.10 tokens | GDNJXC...WWRL |
| algorand:wGHE2Pwdvd7S12BL5FaOP20EGYesN73ktiC1qzkkit8= | exact | 0.01 tokens | C7IIHG...2XIE |